1. About
This folder houses the Stata scripts and the datasets necessary to replicate the results presented in the paper "Allen IV, James, Arlete Mahumane, James Riddell IV, Tanya Rosenblat, Dean Yang, and Hang Yu. "Correcting Perceived Social Distancing Norms to Combat COVID-19." Economic Development and Cultural Change (2023)." and the accompanying populated pre-analysis plan. 

This replication packet reproduces the results for the paper, online appendix, and populated pre-analysis plan. The paper and its online appendix are accepted for publication at Economic Development and Cultural Change. Meanwhile, the Pre-Analysis Plan and the Populated Pre-Analysis Plan are available at the following links:
	- AEA RCT Registry / Pre-Analysis Plan: https://www.socialscienceregistry.org/trials/5862
	- Populated Pre-Analysis plan: In paper's online appendix or found at https://fordschool.umich.edu/sites/default/files/2023-06/Populated_PAP_SocialDistancing.pdf.
 

2. Folder Structure
The folder contains 3 subfolders, whose purpose and content are explained below: 

	- Scripts: This folder houses 2 Stata scripts: "covid_sd_main_paper_output.do" and "covid_sd_appendix_paper_output.do", which perform the following tasks:
		* covid_sd_main_paper_output.do: This do-file performs the statistical analysis necessary to create the tables, figures and in-text statistics available in the main paper.   
		* covid_sd_appendix_paper_output.do: This do-file conducts the statistical analysis that generates the tables and figures available in the appendix of the main paper. 
		These scripts were performed using Stata version 16.

	- Data: This folder contains the datasets utilized in the statistical computations that generate the results from the main paper and appendix.
		Additionally, you will find the codebooks tabulating summary statistics for the variables in each dataset, for reference. 
		These codebooks correspond to various survey instruments for primary data collection in the field. The connection of the finalized datasets and the survey instruments are demarcated within the codebook. 
		A sub-folder called "survey instruments" contains accompanying survey instruments in both English and Portuguese. 
		There were three rounds of surveys used in the paper: 
			Round 1: Pre-baseline sample pre-treatment
			Round 2: Baseline sample pre-treatment
			Round 3: Endline sample post-treatment

	- Outputs: This folder stores the tables and figures produced for the paper and appendix. 


3. Replication Steps:
	- Main Paper: To replicate the results from the main paper, open Stata and open the do-file "covid_sd_main_paper_output.do". 
		First, in line 25, change the base directory to where you saved the replication package. 
		Second, check that you have installed packages listed in line 49 (if not, the script will pause and ask you to install before proceeding).
		Then, execute the file, which will automatically run the data analyses and will save the produced tables and figures in the folder "outputs".

	- Online Appendix: To replicate the results from the online appendix, open Stata and open the do-file "covid_sd_appendix_paper_output.do". 
		First, in line 25, change the base directory to where you saved the replication package. 
		Second, check that you have installed packages listed in line 49 (if not, the script will pause and ask you to install before proceeding).
		Then, execute the file, which will automatically run the data analyses and will save the produced tables in the folder "outputs".


4. Replication Testing:
In order to ensure that the replication files run smoothly and reproduce the exact results presented, the research team has undergone an extensive testing procedure:
One team member (Ryan McWay) created the replication files, two other members (Laston Manja and Gabriela Cecchini) have duplicated it and, finally, one of the principal investigator (James Allen IV) have performed a final revision.